Nature MethodsNeurosciencePeer-reviewed journal article
TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models
Rastko ĆirićiD, William Hedley ThompsoniD, Romy LorenziD, Mathias GoncalvesiD, Eilidh MacNicoliD, Christopher Johnson MarkiewicziD, Yaroslav O. HalchenkoiD, Satrajit GhoshiD, Krzysztof J. GorgolewskiiD, Russell Alan PoldrackiD, Oscar EstébaniD
Abstract
Reference anatomies of the brain and corresponding atlases play a central role in experimental neuroimaging workflows and are the foundation for reporting standardized results. The choice of such references --i.e., templates-- and atlases is one relevant source of methodological variability across studies, which has recently been brought to attention as an important challenge to reproducibility in neuroscience. TemplateFlow is a publicly available framework for human and nonhuman brain models. The framework combines an open database with software for access, management, and vetting, allowing scientists to distribute their resources under FAIR --findable, accessible, interoperable, reusable-- principles. TemplateFlow supports a multifaceted insight into brains across species, and enables multiverse analyses testing whether results generalize across standard references, scales, and in the long term, species, thereby contributing to increasing the reliability of neuroimaging results.
- organism: human
- organism: non-human primate
- assay: spatial transcriptomics
- assay: imaging
- research focus: database / resource
- research focus: benchmarking
- approach: experimental assay
- Citations
- 116
- FWCI
- 18.77
- Field percentile
- top 1%
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